Davide Arcella

4.6k citations
32 papers · 1.2k · h-index 18

Impact in

Papers in

Davide Arcella

31 papers receiving 1.1k citations

Peers

Davide Arcella
Comparison fields: 5 of 125
  • Health, Toxicology and Mutagenesis 325
  • Food Science 251
  • Plant Science 465
  • Pollution 123
  • Environmental Chemistry 92
Replace David Garon with:
David Garon France
Marek Roszko Poland
Stefania Frassinetti Italy
Gilles Bedoux France
Kittane Mayura United States
Hiroto Tamura Japan
Veronika Ehrlich Austria
Polly Boon Netherlands
Mette Erecius Poulsen Denmark
Hui Zhan China
Davide Arcella relative to David Garon France David Garon's profile →
Citations per field
00.5×3.7×
David Garon · 1×
Citations per year

Countries citing papers authored by Davide Arcella

Since Specialization
Citations

This map shows the geographic impact of Davide Arcella's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Davide Arcella with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Davide Arcella more than expected).

Fields of papers citing papers by Davide Arcella

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Davide Arcella. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Davide Arcella. The network helps show where Davide Arcella may publish in the future.

Co-authors

The 25 scholars most cited alongside Davide Arcella, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.

Border = papers with Davide Arcella Line = papers co-authored together Davide Arcella links everyone, so they are left out of the graph.

All Works

20 of 20 papers shown

Showing the 20 most-cited of 32 papers — load more, or switch the sort, to bring in the rest.

#Work
1 2016220
2 2021120
3 2017114
4 2010101
5 201171
6 202063
7 201763
8 201754
9 200045
10 201739
11 201837
12 201929
13 201928
14 200228
15 200319
16 201319
17 202018
18 200317
19 201917
20 202014

About Davide Arcella

Davide Arcella is a scholar working on Health, Toxicology and Mutagenesis, Food Science, Public Health, Environmental and Occupational Health, Plant Science and Cancer Research, having authored 32 papers that have together received 1.2k indexed citations. Recurring topics across this work include Effects and risks of endocrine disrupting chemicals (12 papers), Nutritional Studies and Diet (8 papers), Agricultural safety and regulations (8 papers), Consumer Attitudes and Food Labeling (8 papers), Pesticide Residue Analysis and Safety (7 papers), Carcinogens and Genotoxicity Assessment (5 papers), Mycotoxins in Agriculture and Food (3 papers) and Heavy Metal Exposure and Toxicity (3 papers). The work is most often cited by research in Health, Toxicology and Mutagenesis (325 citations), Food Science (251 citations), Plant Science (465 citations), Pollution (123 citations) and Environmental Chemistry (92 citations). Davide Arcella has collaborated with scholars based in Italy, Netherlands and United Kingdom. Frequent co-authors include José Ángel Gómez Ruiz, Mari Eskola, Catherine Leclercq, Claudia Cascio, Matteo Lorenzo Innocenti, Hans Steinkellner, Marco Binaglia, Petra Gergelová, Aida Turrini and Zsuzsanna Bagó-Horváth. Their work appears in journals such as EFSA Journal, Food and Chemical Toxicology, Food Additives & Contaminants Part A, Food Additives & Contaminants and Proceedings of The Nutrition Society.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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